4 citations · 8 across the 6 of their papers we have counts for
4 papers · 1 filter
xLP: Explainable Link Prediction for Master Data Management
Balaji Ganesan, Matheen Ahmed Pasha, Srinivasa Parkala +6
Explaining neural model predictions to users requires creativity. Especially in enterprise applications, where there are costs associated with users' time, and their trust in the m…
xEM: Explainable Entity Matching in Customer 360
Sukriti Jaitly, Deepa Mariam George, Balaji Ganesan +2
Entity matching in Customer 360 is the task of determining if multiple records represent the same real world entity. Entities are typically people, organizations, locations, and ev…
Towards Automated Evaluation of Explanations in Graph Neural Networks
Vanya BK, Balaji Ganesan, Aniket Saxena +2
Explaining Graph Neural Networks predictions to end users of AI applications in easily understandable terms remains an unsolved problem. In particular, we do not have well develope…
A Neural Architecture for Person Ontology population
Balaji Ganesan, Riddhiman Dasgupta, Akshay Parekh +2
A person ontology comprising concepts, attributes and relationships of people has a number of applications in data protection, didentification, population of knowledge graphs for b…